# Plotting a Time Frequency contour/colormesh plot of a Discrete Wavelet Transform

I have a pressure vs time data of a noise on which I wish to perform discrete wavelet transform. I have divided my frequency range into 1/3rd Octave Bands and have calculated sound pressure level at each band.

I am very much confused on how to perform a discrete wavelet transform in 1/3rd Octave Frequency Bands or any set of bands for that matter and further how to interpret the output(coefficients) so as to plot a Time-Frequency colormesh or a contour plot of my results.

I was able to plot a continuous wavelet transform of my data using the pcolormesh module of matplotlib. The output of pywt.cwt are easy to interpret and hence I could plot a colormesh for it.

I am a beginner in DSP and have just started learning wavelet transforms, so any help will be much appreciated. Thankyou.

So, maybe rwt.rdwt()